AI Driven Threat Detection System

AI Driven Threat Detection System

Author Name : Dr. Rais Abdul Hamid Khan, Mohit Bharat Metha, Akash Raghunath Bhadane, Ansh Naresh Panchtilak, Nikhil Durgesh Vinchurkar

ABSTRACT The AI-Driven Threat Detection System represents a cutting-edge solution to the escalating challenges of cybersecurity in the era of rapidly advancing virtual technologies. Leveraging sophisticated machine learning and artificial intelligence techniques, this innovative system employs a blend of supervised and unsupervised learning algorithms to detect and classify potential threats in real-time. At its core, a state-of-the-art neural network, trained on vast datasets of known attack vectors and normal behaviour patterns, enables the system to identify anomalies and potential security breaches with exceptional accuracy. Designed for scalability and adaptability, the system continuously learns from new data and evolving threats, ensuring ongoing protection against even the most sophisticated cyberattacks.